QCU Star: Journal of Science, Engineering, and Information Technology is a peer-reviewed journal, published twice a year in print and online. It is an interdisciplinary journal that publishes original peer-reviewed research articles on the interface of science and technology (S&T), with implications for improving and strengthening S&T at all levels.
All articles published in QCU Journals are made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows for: Sharing – copying and redistributing the material in any medium or format. Adapting – remixing, transforming, and building upon the material for any purpose, including commercial use.
Improving Organizational Image and Customer Loyalty: An Empirical Study of Training Participants at the Health Training UPTD of the West Java Provincial Health Office, Indonesia
This study examines the direct and indirect effects of service quality and training programs on customer satisfaction, organizational image, and customer loyalty. Using quantitative methods, including path analysis and SITOREM analysis, the study was conducted with 176 training participants at the UPTD Health Training, West Java Provincial Health Office. Results show that service quality and training programs significantly and positively influence customer satisfaction, organizational image, and customer loyalty. Customer satisfaction serves as an important mediating variable, strengthening the relationships between service quality and training programs and organizational image and customer loyalty. SITOREM analysis identified priority indicators for improvement, such as service response and training content, to enhance participant satisfaction and experience. This study supports the theory that superior service quality and training programs can improve organizational image and customer loyalty through satisfying customer experiences. These findings provide strategic implications for public service management, particularly in developing relevant, high-quality training programs to support the sustainability of institutions in the health sector.
Copyright (c) 2025 Ai Susi Susanti, Prihartono, Arman Maulana (Author) https://creativecommons.org/licenses/by/4.0
Health Education Innovation Strategy: Developing Sustainable Practices and Preparing Health Workers in Health Communication for the Indonesian National Program
Innovation strategies in health education are vital to developing skilled health professionals equipped to meet the demands of national health initiatives in Indonesia. This article explores a range of innovative educational approaches, focusing on integrating sustainable practices and enhancing health communication competencies. Central to this discussion is how these educational innovations can elevate health professionals’ abilities to deliver effective, efficient, and community-centered services. Sustainable practices, such as case-based learning and interactive simulations, are designed to sharpen practical skills and foster adaptability among health workers in real-world settings. Moreover, cultivating communication skills, particularly in engaging with patients and communities, is crucial for ensuring that national health messages are conveyed effectively and resonate with diverse populations. By implementing these strategies, health professionals are better prepared to communicate, adapt, and innovate—ultimately contributing to the success of national health programs and driving positive impacts on public health. Effective health communication strategies are essential for improving health outcomes and behaviors across communities. These strategies must be tailored to the specific needs of target audiences, taking into account cultural, socio-economic, and literacy differences. Despite the potential of digital media in expanding access to health information, challenges such as misinformation and digital literacy gaps remain. Key strategies to enhance communication effectiveness include expanding internet access, improving health literacy, and investing in training for health professionals. Furthermore, Indonesia’s health communication strategies, especially in addressing critical health issues such as communicable and non-communicable diseases, emphasize community empowerment, advocacy, and partnership-building to foster positive health behaviors. As healthcare infrastructure continues to evolve, integrating digital tools and media will further enhance the quality and accessibility of health services, contributing to better health outcomes for diverse populations.
Copyright (c) 2025 Sani Fitriyani (Author) https://creativecommons.org/licenses/by/4.0
Optimizing Water Efficiency in Urban Farming with an Automated Smart Drip Irrigation System
Urban farming is becoming increasingly important in tackling food security challenges, especially in densely populated areas. A key concern in urban agriculture is the efficient use of water. This study focuses on optimizing water use in urban farming through the implementation of an Automated Smart Drip Irrigation System. The system uses sensors to monitor soil moisture levels and automatically adjusts water delivery to crops based on real-time data. This approach significantly reduces water waste compared to traditional irrigation methods, ensuring plants receive the precise amount of water they need for optimal growth. The study aligns with Sustainable Development Goals (SDG) 11 and 12, promoting sustainable cities and communities, as well as responsible consumption and production. It presents a comparative analysis of water usage between conventional irrigation systems and the automated smart drip system, highlighting major improvements in water conservation and crop yield. The findings show the potential of smart irrigation technologies to support sustainable urban farming, providing a scalable solution to the global water scarcity challenge and encouraging responsible water management in agriculture.
Copyright (c) 2025 Ian Benito, Sandy Daras, Rechelle Ann Intawon, Rachell Lacaba, Marjorie Mendoza, Patrick Jeremie Supnet (Author) https://creativecommons.org/licenses/by/4.0
Microcontroller-Based Hydroponics GlaciaGrow Smart Environment with Water Filtration and Growth Optimization System for Lactuca Sativa var Longifolia
The Philippines faces significant agricultural problems including water scarcity, the consequences of climate change, and declining output that all compromise food security and financial stability. This work introduces the GlaciaGrow system, a microcontroller-based hydroponics solution that incorporates an improved wastewater management system (gravel, sand, activated charcoal, pebbles) to purify and recycle water for sustainable crop irrigation. Combining automated Deep-Water Culture (DWC) hydroponics with real-time temperature, humidity, water level, and pH, the prototype also incorporates dual power sources (solar and AC) and GSM-based environmental deviation notifications. The wastewater filtration system ensured optimal nutrient delivery and achieved 92% contaminant removal, thereby reducing reliance on freshwater. The environmental sensors that are significant for maintaining a controlled environment within the system demonstrated strong performance across all parameters, with consistently high accuracy in water level and pH measurements. The specimen, grown from romaine lettuce, also met quality standards, reaching a weight of more than 150 g and a height of more than 15 cm. GlaciaGrow, a scalable approach to climate-resilient urban farming, combines closed-loop water recycling with precision agriculture. GlaciaGrow presents a sustainable model for urban farming in water-scarce regions.
Copyright (c) 2025 Angelo Acepcion, Paul Anthony Alforte, Charles Ayaso, Chito Handy Balanza, Marc Yuri Bernal, Francis Olila (Author) https://creativecommons.org/licenses/by/4.0
Precision Ulang Aquaculture: A Sustainable Approach Leveraging Atmega2560-based Automation and Data-Driven Control
Freshwater prawn (Macrobrachium rosenbergii, locally known as Ulang) aquaculture is a significant livelihood in the Philippines, but is often constrained by traditional methods leading to resource inefficiency and variable yields. This study addresses the need for enhanced operational efficiency and environmental stability in traditional Ulang farming by designing and quantitatively evaluating a novel, ATmega2560-based automated control system for data-driven water quality management. The ATmega2560-controlled system integrates sensors for continuous real-time monitoring of six critical water parameters (Temperature, pH, DO, Salinity, Ammonia, and Water Level). It uses actuators (pumps and coolers) to automate precise water-quality regulation. Sensor accuracy was rigorously validated over five trials against reference devices, yielding an Overall Average Accuracy of 96.66% across all parameters, confirming an 'Excellent' performance rating. Furthermore, the system maintained a 0% disease rate and achieved an 85.33% cumulative survival rate over a three-month grow-out period, which is substantially higher than reported low-survival ranges. These results establish the feasibility and reliability of accessible microcontroller technology for efficient, data-informed ulang farming, offering a scalable solution to mitigate environmental stress, improve prawn survival, and optimize operational resource use.
Copyright (c) 2025 Franklin Campomanes, John Lloyd Pabelico, Edben Recto, Ruzelle Soriano, Jayve Deligencia, Marco Polo Zacarias, Ahiedi Rose Malmo (Author) https://creativecommons.org/licenses/by/4.0
Assessing Industry Demands and Engineering Competencies in an Outcomes-Based Industrial Engineering On-the-Job Training Program
This study evaluates the alignment between industry labor-market demands and the Outcomes-Based Education (OBE) framework of the Industrial Engineering (IE) program at Quezon City University to improve technical preparation and on-the-job training (OJT) readiness. Specifically, it examines the attainment of engineering program outcomes such as the ability to apply mathematics and science to complex engineering problems, design and conduct experiments, interpret data, design systems within realistic constraints, function effectively in multidisciplinary teams, identify and solve engineering problems, communicate technical information, and use modern engineering tools and techniques. The study also evaluates the achievement of course outcomes related to applying engineering theories to industrial problems, understanding plant operations and management control systems, developing responsible work attitudes, and demonstrating effective human relations in industrial settings. Furthermore, the study identifies labor-market expectations and technical training needs of IE graduates employed in selected manufacturing industries in the National Capital Region. Industry feedback highlighted the demand for skills in Lean Six Sigma, data analytics, industrial automation, PLC programming, ERP systems, process optimization, and technical reporting—competencies essential for Industry 4.0 environments. Using descriptive, quantitative, and qualitative approaches, data were analyzed using weighted means, frequency distributions, and percentage scores, and nonparametric statistical tools. Program documents, curriculum standards, and OJT portfolios were also examined. Findings provide evidence-based insights to enhance the engineering training curriculum, strengthen OJT program design, and ensure greater alignment between academic preparation and the evolving technical needs of industrial employers.
Copyright (c) 2025 Jeffrey Cacho, Fernando Omadto, Rhea Arlante, Rowel Alarco, Evelyn Dacanay, Marites Cortes (Author) https://creativecommons.org/licenses/by/4.0
Implementing a Web-Based Citizen Data Management System to Foster Innovation and Sustainable Urban
Urban populations are growing increasingly complex, requiring innovative solutions for effective citizen data management and sustainable governance. This study focuses on developing a web-based system to streamline data collection, storage, and analysis, enabling real-time access to accurate information for better decision-making and resource allocation. The system features data visualization, integration with urban services, and strong security measures to ensure privacy and accessibility. A pilot implementation in a medium-sized city improved service delivery, citizen engagement, and urban planning. It also supports sustainable goals by promoting transparency, accountability, and efficient resource use. This study aims to improve the efficiency and accuracy of Dasawisma data collection in Batununggal District by developing a website-based system using the Rapid Application Development (RAD) method. The traditional manual process, which is often time-consuming, error-prone, and inefficient in data storage and retrieval, has been a significant challenge. The proposed website incorporates features for real-time data entry, validation, and management, seamlessly integrated with PhpMyAdmin and MySQL to ensure reliable data handling. By employing an iterative development process with user feedback, the system effectively addresses user requirements while reducing the risk of data entry errors. The findings reveal that this digital approach not only streamlines administrative tasks but also enhances the technological proficiency of PKK members, thereby fostering the sustainability and success of the Dasawisma program.
Copyright (c) 2025 Candra Mecca Sufyana, Akbar Romadona Maulana, Reyhan Assisrazi Sabian (Author) https://creativecommons.org/licenses/by/4.0
Application of SMART Method in Decision Support System to Prioritize Nutrition Intervention in Posyandu
Improving child nutrition is one of the main focuses of posyandu services to prevent long-term health problems such as stunting, malnutrition, and other negative impacts on child development. These nutritional problems, if not addressed immediately, can result in cognitive impairment and reduced quality of life in the future. However, posyandu often faces limited resources in terms of manpower, funding and facilities. Therefore, prioritizing appropriate and effective nutrition interventions is important to ensure optimal utilization of available resources. This study aims to apply the SMART (Simple Multi-Attribute Rating Technique) method in a Decision Support System (SDM) to assist posyandu in prioritizing the most urgent and impactful interventions. In this study, five main criteria were used to evaluate intervention alternatives, namely the severity of malnutrition, the number of children in need of intervention, the availability of posyandu resources, family and community support, and the long-term risk if intervention is not carried out immediately. Based on these criteria, five alternative nutrition interventions were evaluated, including supplementary feeding (PMT), nutrition education programs for parents, regular nutrition monitoring and surveillance, posyandu cadre training, and collaboration with nearby health services. The analysis showed that PMT was the top priority with the highest score, followed by collaboration with nearby health services and regular nutritional monitoring. The application of the SMART method in SDM provides a systematic and data-driven approach, enabling more objective and customized decision-making. The resulting decisions can significantly support the effectiveness of posyandu nutrition programs, to help improve the health and well-being of children in the community.
Copyright (c) 2025 Yuyun Yunengsih, Adhita Arif Setyawan, Falaah Abdussalaam (Author) https://creativecommons.org/licenses/by/4.0
Design and Development of Flex Sensor-Based Respiratory Rate Monitoring System Using Node MCU ESP32
Flex sensors are used to measure a patient’s breathing status such as Eupnea, Bradypnea, and Tachypnea, providing respiratory rate data. The main objective of this capstone is to design and develop a device that accurately measures respiratory rate, thereby improving patient care assessment. The system utilized a flex sensor that can accurately detect the expansion and contraction of the chest and abdomen during breathing. This sensor is then used to calculate the respiratory rate, which is displayed in real-time on both the OLED screen and the web server. The OLED screen provides offline monitoring, allowing the respiratory rate and status to be easily viewed in realtime. On the other hand, the web server provides a more comprehensive view of the respiratory rate data, including a graphical representation of the start and end of each breath. The system has demonstrated an accuracy rate of 90.18% in eupnea and 91.03% in tachypnea, with a total accuracy of 93.73%, which is considered very satisfactory. The belt is more efficient when placed on the abdomen compared to the chest, which had an accuracy rate of 91.44% and 89.13%, and an overall efficiency rate of 90.29% and is interpreted as very satisfactory. This Flex Sensor-Based Respiratory Rate Monitoring System provides a reliable method for measuring respiratory rate, allowing medical personnel to obtain accurate baseline data for assessing a patient’s respiratory function. The high accuracy rate aids in informed decision-making, enhancing patient care practices and leading to better health outcomes.
Copyright (c) 2025 Maria Beatriz M. Mamado, Justine Jay T. Baldomar, Carl John S. Calimpusan, Nikki C. Dolor, John Keneth C. Labian, Ryan F. Arago, Michael Angelo D. Ligayo (Author) https://creativecommons.org/licenses/by/4.0
Design and Development of Smart Farming Technology for Sweet Charlie Strawberry Using Atmega2560 Microcontroller Board
Rooted in antiquity and grounded upon time-honored traditions, traditional farming is an indispensable pillar supporting sustainable communities across generations. Yet, while lauded for its enduring virtues, it confronts reproach for its labor-intensive methodologies and the challenge of effectively navigating environmental variables, pestilence, and diseases. Strawberry (Fragaria × ananassa), revered as one of the world’s most popular fruits, grapples with comparable difficulties aggravated by its innate susceptibility to water. Enter Smart Farming Technology, an automated greenhouse paradigm, poised as a promising solution in ameliorating the manifold obstacles afflicting both traditional agriculture and the cultivation of strawberries. Utilizing advanced techniques such as the subirrigation method from Taiwan, the automated greenhouse offers a solution to combat issues related to water sensitivity and water wastage in strawberry cultivation. This study demonstrates the successful integration of sensors, modules, and actuators, resulting in the development of an automated greenhouse system. Every device employed within the greenhouse has passed strict functionality tests, while every sensor has commendable accuracy rates, culminating in a rate of 97.22%. As a testament to the efficacy of Smart Farming Technology, strides have been achieved in urban strawberry cultivation, marked by the growth of strawberries, their larger size, and their resplendent crimson color. With Smart Farming Technology, a substantial advancement in cultivating strawberries within urban environments is made, significantly contributing to modernizing agriculture, promoting sustainability, and precise farming practices.
Copyright (c) 2025 James Caranyagan, Dianne Destura, Roeve Josuah Gacias, Jeeko Noche, Shannen Quimiguing, Jhon Mark Vicente, Ryan F. Arago, Michael Angelo D. Ligayo (Author) https://creativecommons.org/licenses/by/4.0
Future-Ready Learning Through Clean Practices and Green Behavior: Linking Education, Waste Management, and Health Goals
This study examines the integration of waste management, green behavior, and hygiene practices in educational settings to support Sustainable Development Goal 3 (SDG 3) and promote future-ready education. The primary aim is to understand how these sustainable practices, underpinned by green behavior, can improve health outcomes and educational preparedness for future generations. This research uses a systematic literature review approach to analyze existing literature on waste management, green behavior, clean practices, and health in academic environments. Findings reveal a strong correlation between implementing sustainable waste management practices and improved student well-being and learning environments. The review also highlights critical gaps in current educational policies and suggests comprehensive approaches to embedding green behavior and clean practices into the curriculum. This research recommends an interdisciplinary approach for policymakers and educators to drive educational health and sustainability goals. The study concludes by proposing further research into specific clean practices, green behavior, and waste management systems suitable for diverse educational settings to support global health initiatives.
Copyright (c) 2025 Tetty Ekasari, Sri Djatnika Sya’diah (Author) https://creativecommons.org/licenses/by/4.0
Test Item Analysis of Engineering Economy Subjected to Table of Specification: Input for Digital Test Bank and E-Class record for the College of Engineering
This study is aimed at analyzing the 50-item multiple choice test in engineering economy and subjecting it to test item analysis using the Table of Specifications. The substance of this research paper is derived from Bloom’s taxonomy of learning, which includes Knowledge, Comprehension, Application, Analysis, synthesis, and evaluation, respectively. The analysis of the 50-item test was centered on the TOS specifically: (1) the list of course objectives; (2) the topics covered in class; (3) the amount of time spent on those topics; (4) textbook chapter topics; and (5) the emphasis and space, respectively. The statistical tools used in this study are: metrics of central tendency that include the average and standard deviation of students’ scores after the final examination are subjected to graphical analysis of scores and hypothesis testing to determine if a significant difference exists between the academic performance in the final examination and the final grade of students. The hypothesis testing was done at a 5% level of significance relative to the numerical coefficient for degree of freedom. This study methodically employed a review of related studies and literature to categorize, describe, analyze, and interpret the borrowed materials from different authors both in the local and international domains, respectively. The end goal of this study was to develop a relevant and effective mechanism for a digital LMS intended for testing banking systems and metrics for the grading system. The study further employed CDAI (Categorizing. Describing, Analyzing, and Interpreting), a method that was originally developed by Johnny Saldana (2019). This study was conducted on Quezon City University’s main campus during the school year 2023-2024.
Copyright (c) 2025 QCU The Star https://creativecommons.org/licenses/by/4.0
BeeMusa Straw: A Project Feasibility on Utilization of Banana Leaf as Eco-Friendly Straw
The Philippines is considered to be the third largest contributor to plastic waste worldwide and considered as a long-term problem that sought to resolve over time. The proponents have come up with the idea of making a compostable straw that is made out of bio-plastic with processed banana leaf for their Project Feasibility by putting together their resources and setting up BeeMusa Enterprise. New version of straw is made for the continuous change and improvement on the environmental issues. Introducing this new straw where banana leaf was used as the primary material of BeeMusa straw. The BeeMusa Enterprise created a new Eco-friendly straw that can start to maintain the cleanliness. The product will be sold by pack for P30 consisting of 10 pieces straws. The company will supply the businesses like milk tea shops, restaurant and shake vendor, around the company location in Barangay 171 Bagumbong North Caloocan City. For the 1st year of BeeMusa Enterprise production, 8 workers are needed for the daily capacity of the company. Each pack will be processed 1.59 minutes and can produced 212 packs a day to meet the supply each business needed. All materials for this product are organic from the primary materials which are the beeswax and processed banana leaf up to secondary materials which includes glycerin, starch and vinegar and no preservatives included. It is to avoid the chemicals to our product making it zero plastic content but this is not edible and it will decompose naturally in our composed bin.
A Project Feasibility Study on the Production of Pest Off: A Mosquito Repellent Scented Incense
Cigarette butts are the most prevalent form of litter, with an estimated 4.5 trillion cigarette butts discarded worldwide each year. As increasing concern arises from growing environmental issues, product innovation made from recycled materials is vital. Reducing the enormous amount of plastic waste while providing outstanding marketing opportunities conceived the production of mosquito repellent scented incense made from tipping paper of cigarette butt. The tipping paper of the cigarette butt is recycled and used as a primary raw material of mosquito repellent. The paper is ground to a pulp with an organic binder, and fragrances such as citronella or oregano are added to turn waste into a valuable resource for killing mosquitoes. Using the Cochran formula, three hundred seventy-six (376) of sixteen thousand six hundred ninety (16,690), or 2.25% of the household, were selected as a sample size of the study, particularly the District 4, Brgy. Tatalon, Quezon City. Hence, this paper provides a comprehensive analysis and discussion of the feasibility and sustainability of mosquito repellent out of recycled material.
A Market Research on LUHANTU’S GEcoWrap – A Biodegradable, Reusable Soy Wax Wrap – in District VI, Quezon City
Filipinos consume about 41 Titanics of plastics annually (World Wide Fund, 2021). The Philippines is the world’s third-ranking contributor to plastic pollution (UN Environment Program, 2016). Plastic pollution has been linked to major health risks, including respiratory diseases, reproductive disorders, and cancer (Greenpeace, 2020). These exacerbating shreds of evidence give life to the purpose of LUHANTU’s research: to provide QCitizens with relevant nature-oriented and market information on environmental sustainability. A structured survey from focus group discussions and a rigorous review of related literature was used to gather data from 385 Cochran-proposed respondents. Data was collected through quota sampling and analyzed using frequency, percentages, and hypothesis testing. The results show that most participants always utilize single-use plastics. But, the majority of them are totally aware of reuse. Hence, the extreme willingness to purchase GecoWrap. Moreover, there is a significant difference between the respondents’ occupation or barangay and both the frequency of consuming single- use plastics and the awareness of reuse. Additionally, there is no significant difference between gender and single- use plastics consumption and reuse awareness. Furthermore, there is a significant difference between the awareness of reuse and the willingness to purchase GecoWrap. In conclusion, Qcitizens are ready to go on the greener side through sustainable practices. GecoWrap will be an influential product and symbol of Quezon City in supporting the 17 Sustainable Development Goals (United Nations, 2015) and reducing the prevalence of single-use plastics in the metropolis with regard to the respondents’ background.
HATCHIT: Gallus Gallus Domesticus (Chicken), Anas Luzonica (Duck), and Coturnix Cotunix (Quail) Egg Automated Incubator Using ATMEGA2560
The use of conventional egg incubators in the poultry husbandry experience multiple factors that affects mostly the hatching rates, and it has become tedious for husbandry workers to regulate the temperature and humidity. Furthermore, former studies were sought to improve and optimize the mechanism of the automated egg incubator which also reduces the human intervention to prevent mediums or outside factors that could possibly affect the eggs in its incubation period. The study aimed to redesign and innovate the existing semi-automatic incubators located at Batasan Campus that will increase the productivity relative to the hatchability of the incubator. This sought to design a system capable of monitoring, controlling, and regulating the inner workings of the incubator, as well as, to construct a device that will be able to incubate chicken, duck, and quail eggs. Overall, the study determined that the system’s hardware components functioned properly and met the specified requirements. Multiple tests were conducted for each environment, and the results demonstrated that the temperature and humidity measurements were accurate and met the required specifications for all three species under all circumstances. The results indicate that the system is dependable and suitable for use in poultry husbandry applications. The study demonstrates that the HATCHIT incubator is a highly sophisticated and effective system that provides precise monitoring, control, and regulation of critical parameters for successful egg hatching.
From Waste to Value: Production, Characteristics, and Market Potential of Sustainable Candles Made from Coconut Shell Scrap Charcoal Briquettes
This study aims to investigate the production, characteristics, and market potential of sustainable candles made from coconut shell scrap charcoal briquettes. Coconut shell scrap, an abundant agricultural waste generated from the processing of coconuts, offers an eco-friendly alternative to traditional paraffin-based candles. By transforming this waste material into charcoal briquettes and incorporating it into candles, this research seeks to develop an innovative solution for cleaner-burning, environmentally friendly candles while reducing waste and promoting sustainability. The production process involves converting coconut shell scrap into charcoal briquettes, followed by blending the briquettes with coconut wax and beeswax to create the candles. This study examines the resulting candles’ characteristics, including burning time, emissions, scent retention, and overall performance, comparing them to traditional paraffin-based candles. In addition to the production and performance analysis, this research conducts a market study to assess consumer preferences, potential demand, and market opportunities for these sustainable candles. By analysing market trends, consumer preferences, and competitor products, the study aims to evaluate the commercial viability of these eco-friendly candles and identify strategies for successful market entry. The findings of this research contribute to a better understanding of the potential of coconut shell scrap charcoal briquettes in sustainable candle production, providing valuable insights for manufacturers and entrepreneurs interested in developing and marketing environmentally friendly products. Furthermore, the study highlights the importance of waste-to-value initiatives in promoting sustainability and resource conservation.
Fish Drying Chamber Utilizing Salinity and Moisture Content Using ATmega328P
The fish drying chamber that uses salinity and moisture content and is controlled by an Atmega328P is a technological breakthrough representing a significant advancement in fish drying processes. The use of this chamber has the potential to revolutionize the traditional fish drying process, which is frequently inefficient and inconsistent. The goal of this technology is to ensure that fish is dried evenly and that the required moisture content and salinity levels are met to produce high-quality dried fish. A thermostat sensor monitors the chamber’s temperature, and a load cell sensor measures the weight of the fish before and after drying. The system can indirectly measure the moisture content of the fish by measuring the weight of the fish before and after drying. A salinometer is also used to regulate the salinity of the fish, ensuring consistent variations in salinity. Consistent salinity levels must be maintained during the drying process to ensure the fish is evenly dried and retains its quality. The drying process within the chamber is meticulously monitored to ensure that the fish is evenly dried and that the desired moisture content and salinity levels are met. Fish farmers and processors can use this technology to produce high-quality, evenly dried fish that meets market standards. The fish drying chamber utilizing salinity and moisture content using Atmega328P is a significant technological advancement that can improve the efficiency and consistency of fish drying processes.
Fresh Concrete Class Type Identifier Systems for Quality Control Utilizing Electronic Modules
Considering the increasing cases related to fraud of construction materials like cement, sand, and gravel, the fresh concrete class type identifier system would be a big help to the clients or customers. In this study, the researchers aim to develop a device that easily identifies the class types of fresh concrete using electronic modules. The temperature sensor can be embedded in concrete and used to sense the internal temperature of the curing concrete (Manuel Ramos, 2017). The Oven dry method is widely used for the determination of water content. The loss of weight that happens due to drying results in the measurement of the moisture content of the sample (Farhan Khan, 2020). The study was conducted and completed through actual testing. The result was accepted within theoretical ranges. Based on the information above, the Fresh Concrete class type identifier system using electronic modules can function with reference to the standard temperature content of the fresh concrete as well as the workability of the moisture content through the Moisture Sensor.
Investigating the Impact of Training and Testing Ratios on the Performance of an Al-Based Malware Detector using MATLAB
This research investigates the impact of the training and testing ratios on the performance of an Al-Based Malware Detector using MATLAB. The experiments through MATLAB have shown that higher training percentage means that a larger portion of dataset for training the model have been used while a lower training percentage shows that a large portion of the dataset reserved for testing the model’s performance. The exploration of the influence of training and testing ratios also have been able to determine the performance of an Al-Based Malware Detector. The results give to determining the relationship between training and testing ratios and the effectiveness of the malware detection system.
Comparative Analysis of the Presence of Microorganisms in Lettuce in Three Markets in Metro Manila
The development of multi-drug resistant (MDR) pathogens caused by the overuse and misuse of antimicrobials is going to be the next pandemic, according to The World Health Organization (WHO). Thus, conducting studies on how the MDR pathogens spread should also be prioritized. For instance, microbes, a number of which are potentially antimicrobial resistant, spread among vegetables and other food products due to improper sanitation and handling. The lack of clean water and sanitation as well as inadequate infection prevention and control promotes their spread, some of which can be resistant to antimicrobial treatment. In this study, lettuce grown in the Philippines has been subjected to investigation to determine the presence of pathogenic microorganisms. Lettuce has become popular through the introduction of foreign delicacies such as salads, wraps, and samgyeupsal. Three samples were procured in different markets in Metro Manila: Marikina wet market, Farmers’ market Cubao, and Supermarket (Cubao). Bacteria from the lettuce were cultured in Eosin Methylene Blue Agar (EMB) for 24 h at 37°C, counted using the colony counter and analyzed using Independent Samples Kruskal-Wallis H Test at .05 Level of Significance. Gram staining was then performed for three colonies exhibiting different colors and were isolated and subcultured in nutrient broth to obtain pure culture. All samples were done in triplicates. The genomic DNA of the microorganisms were extracted using the xanthogenate method, and the specific DNA regions were amplified using 16S rRNA. DNA sequencing to identify the microbes at the species level. Results indicate that there is no significant difference between the number of colonies from the samples in the three markets. Moreover, three microbes namely Raoultella ornithinolytica (Marikina wet market), Acinetobacter pittii (Farmer’s market), and Acinetobacter soli (supermarket) match the results in BLAST (Basic Local Alignment Search Tool); hence, they were classified as biosafety level 2. Further investigation on the source of contamination is highly recommended.